SIVOCS

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# SIVOCS

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## B1: How familiar are you with the concept of “social innovation”

**H**: The familiarity with the concept of SI depends on the field of research.

---
# B1 (NEW): Kruskal-Wallis test: SI familiarity depends on sci. domains?

```
## 
## 	Bartlett test of homogeneity of variances
## 
## data:  familiarWithSI.response. by domain
## Bartlett's K-squared = 12.931, df = 2, p-value = 0.001556
```

```
## 
## 	Kruskal-Wallis rank sum test
## 
## data:  familiarWithSI.response. by domain
## Kruskal-Wallis chi-squared = 45.694, df = 2, p-value = 1.196e-10
```

* Mean ranks of the groups are not the same, SI fam. depends on domain

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# Pairwise Wilcoxon

```
## 
## 	Pairwise comparisons using Wilcoxon rank sum test with continuity correction 
## 
## data:  data$familiarWithSI.response. and data$domain 
## 
##                                Biology and Medicine
## Humanities and Social Sciences 2.0e-09             
## Math., Natur. and Eng. Sci.    1                   
##                                Humanities and Social Sciences
## Humanities and Social Sciences -                             
## Math., Natur. and Eng. Sci.    2.8e-07                       
## 
## P value adjustment method: bonferroni
```

---

# B1: *Familiarity with SI* across scientific domains

* *Familiarity with SI* differs across scientific domains (Kruskal-Wallis p-value < 0.05)
* *Biology and Medicine* and *Math., Natur, and Eng. Sci.* are **not** stat. significantly different (pairwise Wilcoxon p-value > 0.05)

* *Humanities and Social Sciences* are significantly different than the others (pairwise t-test with each: p < 0.05)

---
class:clear
##  H:  Generating deeper/better understanding of a specific social issue depends on (the level of) transdisciplinary involvement of citizens

```
## 
## 	Shapiro-Wilk normality test
## 
## data: data.questions$Impactstatements.understanding.
## W = 0.55565, p-value < 2.2e-16
```

```
## 
## 	Shapiro-Wilk normality test
## 
## data: data.questions$groupsInvolved.citiz.
## W = 0.5649, p-value < 2.2e-16
```

---

```
## 
## 	Kruskal-Wallis rank sum test
## 
## data:  Impactstatements.understanding. by groupsInvolved.citiz.
## Kruskal-Wallis chi-squared = 8.2846, df = 2, p-value = 0.01589
```
* Different involvement levels make difference.

---

```
## 
## 	Spearman's rank correlation rho
## 
## data:  data.questions$Impactstatements.understanding. and data.questions$groupsInvolved.citiz.
## S = 5945746, p-value = 0.0041
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
##       rho 
## 0.1535068
```

---

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---

# D1: Motivation Types

## H: Motivation Types depend on sci. domains

---
###### Phenomenon

.pull-left[
<img src="data:image/png;base64,#7780_int_meeting_files/figure-html/unnamed-chunk-10-1.svg" width="1152" />
]

.pull-right[

```
## 
## 	Shapiro-Wilk normality test
## 
## data: data.questions$motivation.pheno.
## W = 0.65462, p-value < 2.2e-16
```

```
## 
## 	Kruskal-Wallis rank sum test
## 
## data:  motivation.pheno. by domain
## Kruskal-Wallis chi-squared = 0.037102, df = 2, p-value = 0.9816
```
* No stat. sig. difference between domains

]

---

# Dim. Red.: PCA

```
## [1] 0
```

---
# Dim. Red.: PCA

---
# Dim. Red.: PCA, imp. features in PC1

```
##        groupsInvolved.citiz.   targetGroupsGoals.empower. 
##                    0.2332093                    0.2319459 
##   impactTargetGroup.welfare.     impactTargetGroup.socgr. 
##                    0.2288645                    0.2283431 
##         dissChannels.events.       impactTargetGroup.pub. 
##                    0.2203846                    0.2054193 
##         benefitForNonAcademy targetGroupsGoals.diversity. 
##                    0.1970605                    0.1938333 
##            contribToSI.rate.        groupsInvolved.media. 
##                    0.1887885                    0.1885870
```

---
# Dim. Red.: Factor Analysis

```
## Parallel analysis suggests that the number of factors =  10  and the number of components =  NA
```

---
# Dim. Red.: FActor Analysis

```
## Factor Analysis using method = minres
## Call: fa(r = data.num_questions, nfactors = 10, rotate = "oblimin", 
## fm = "minres")
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR2 MR1 MR7 MR3 MR6 MR9 MR5 MR4
## transdisciplinaryExp.rate. -0.07 0.27 0.45 -0.05 -0.26 0.24 -0.01 0.13
## familiarWithSI.response. -0.01 0.29 0.37 -0.14 0.12 0.02 -0.14 0.05
## contribToSI.rate. 0.02 0.04 0.00 -0.03 0.10 0.89 0.01 -0.05
## motivation.pheno. 0.00 0.08 -0.02 0.05 0.03 0.04 0.04 0.23
## motivation.prob. -0.04 -0.02 0.05 -0.03 0.01 0.10 0.04 -0.13
## motivation.welfare. 0.00 0.17 0.19 -0.02 0.02 0.34 -0.11 -0.54
## benefitForNonAcademy -0.09 0.09 0.29 0.07 0.18 0.29 0.05 -0.38
## groupsInvolved.res. -0.08 0.16 0.35 0.07 -0.16 0.10 -0.06 0.18
## groupsInvolved.busi. -0.05 0.00 0.45 0.06 0.14 -0.18 0.02 -0.15
## groupsInvolved.civsoc. 0.02 0.52 0.09 -0.14 0.35 -0.13 0.00 0.01
## groupsInvolved.policy. -0.09 0.10 -0.11 0.01 0.77 0.01 -0.02 -0.01
## groupsInvolved.citiz. -0.04 0.62 0.18 -0.01 0.08 -0.10 -0.01 0.07
## groupsInvolved.media. 0.04 0.10 0.08 0.25 0.29 0.11 0.02 0.18
## groupsInvolved.welfare. -0.04 0.50 0.02 -0.03 0.14 -0.01 0.09 -0.14
## targetGroupsGoals.socneeds. -0.04 0.55 -0.05 -0.09 0.06 0.05 -0.06 -0.14
## targetGroupsGoals.socgroups. -0.02 0.71 -0.21 0.01 -0.11 0.15 -0.07 0.04
## targetGroupsGoals.improve. 0.14 0.23 0.07 0.00 -0.08 -0.04 -0.18 -0.29
## targetGroupsGoals.empower. 0.06 0.44 0.02 0.05 0.21 0.09 -0.12 0.06
## targetGroupsGoals.diversity. -0.01 0.33 0.06 0.11 0.20 0.02 0.05 0.44
## concepts.pub. -0.03 -0.01 -0.04 0.42 0.00 -0.11 0.08 -0.09
## concepts.data. 0.02 -0.15 -0.03 0.59 -0.02 -0.10 -0.12 0.03
## concepts.code. 0.01 -0.03 0.09 0.47 -0.10 -0.18 -0.02 -0.03
## concepts.infra. 0.05 -0.03 0.10 0.29 0.00 -0.09 0.00 0.06
## concepts.review. 0.01 -0.12 0.24 0.04 0.10 0.04 0.03 0.29
## impactTargetGroup.pub. -0.04 0.02 0.55 0.14 0.06 0.29 -0.02 -0.14
## impactTargetGroup.busi. 0.01 -0.10 0.71 0.07 0.05 -0.12 -0.02 -0.08
## impactTargetGroup.socgr. -0.01 0.65 0.06 0.10 0.07 0.10 -0.02 -0.05
## impactTargetGroup.welfare. 0.00 0.32 0.24 0.00 0.14 0.18 0.14 -0.07
## impactTargetGroup.civsoc. 0.04 0.29 0.18 -0.04 0.32 0.12 -0.13 0.07
## impactTargetGroup.policy. 0.01 -0.07 0.24 -0.08 0.61 0.26 -0.14 0.06
## impactTargetGroup.acad. 0.08 -0.11 0.35 0.09 -0.05 0.12 -0.04 0.26
## adoptByPolicy.rate. 0.55 0.01 0.12 -0.08 0.04 -0.15 0.19 0.04
## Impactstatements.capab. 0.81 -0.04 -0.09 0.06 -0.03 0.05 -0.02 0.01
## Impactstatements.emanc. 0.89 -0.06 0.02 0.01 0.00 -0.02 0.05 -0.02
## Impactstatements.understanding. 0.92 0.03 0.00 0.01 0.00 0.00 -0.01 -0.03
## Impactstatements.mitig. 0.88 0.07 0.04 -0.01 0.00 0.03 0.10 0.03
## Impactstatements.unknown. 0.83 0.01 0.00 -0.04 0.02 -0.01 -0.06 0.01
## Impactstatements.unaddressed. 0.46 0.01 -0.11 -0.03 -0.07 0.28 -0.09 -0.01
## dissChannels.peer. 0.13 -0.06 -0.06 0.13 0.08 -0.04 -0.09 -0.02
## dissChannels.mono. -0.10 0.14 -0.02 -0.04 0.09 0.28 0.09 0.38
## dissChannels.conf. 0.04 0.14 0.00 -0.01 -0.02 -0.13 -0.11 0.05
## dissChannels.policy. 0.05 0.03 0.01 0.07 0.48 -0.01 -0.09 -0.01
## dissChannels.trad. 0.00 0.01 -0.01 0.46 0.20 0.19 0.00 0.14
## dissChannels.prof. -0.06 0.14 0.05 0.19 0.10 0.33 0.13 0.10
## dissChannels.web. -0.10 0.12 0.02 0.44 -0.04 0.01 0.12 -0.07
## dissChannels.socmed. -0.03 0.01 0.15 0.38 0.05 0.07 0.07 -0.05
## dissChannels.platf. 0.08 0.15 0.06 0.48 -0.09 -0.05 -0.09 0.00
## dissChannels.consult. -0.05 0.14 0.17 0.21 0.03 0.09 -0.06 0.06
## dissChannels.events. -0.08 0.40 0.03 0.15 0.17 0.16 0.11 -0.03
## dissChannels.public. 0.03 0.10 0.06 0.36 0.00 0.23 0.17 0.02
## scalabilityRating.up. -0.08 0.04 0.02 -0.03 0.01 0.06 0.71 0.08
## scalabilityRating.out. 0.12 -0.02 -0.05 -0.02 -0.05 0.04 0.81 -0.01
## scalabilityRating.deep. 0.17 -0.06 0.04 0.04 -0.04 -0.12 0.62 -0.07
## MR10 MR8 h2 u2 com
## transdisciplinaryExp.rate. -0.04 0.02 0.42 0.579 3.3
## familiarWithSI.response. -0.02 0.07 0.40 0.596 3.0
## contribToSI.rate. 0.16 0.02 1.00 -0.002 1.1
## motivation.pheno. 0.65 -0.08 0.49 0.509 1.3
## motivation.prob. 0.76 0.04 0.67 0.327 1.1
## motivation.welfare. 0.12 0.05 0.74 0.257 2.5
## benefitForNonAcademy -0.09 0.04 0.57 0.428 3.9
## groupsInvolved.res. 0.01 0.25 0.33 0.667 4.1
## groupsInvolved.busi. 0.05 0.04 0.29 0.711 1.9
## groupsInvolved.civsoc. 0.02 -0.19 0.54 0.458 2.5
## groupsInvolved.policy. 0.06 0.02 0.67 0.331 1.1
## groupsInvolved.citiz. -0.02 0.09 0.51 0.494 1.3
## groupsInvolved.media. -0.07 0.21 0.36 0.643 4.6
## groupsInvolved.welfare. -0.02 0.22 0.42 0.576 1.8
## targetGroupsGoals.socneeds. -0.02 0.15 0.43 0.569 1.5
## targetGroupsGoals.socgroups. 0.09 0.04 0.56 0.441 1.4
## targetGroupsGoals.improve. 0.12 0.29 0.31 0.686 4.8
## targetGroupsGoals.empower. 0.08 0.05 0.42 0.582 2.0
## targetGroupsGoals.diversity. 0.05 0.01 0.45 0.545 2.6
## concepts.pub. 0.09 0.14 0.22 0.777 1.7
## concepts.data. 0.07 0.08 0.41 0.587 1.4
## concepts.code. -0.03 -0.08 0.28 0.721 1.6
## concepts.infra. 0.00 0.19 0.16 0.842 2.4
## concepts.review. 0.02 0.21 0.20 0.796 3.7
## impactTargetGroup.pub. -0.06 0.06 0.65 0.346 1.9
## impactTargetGroup.busi. 0.11 -0.03 0.53 0.469 1.2
## impactTargetGroup.socgr. 0.00 -0.12 0.58 0.421 1.2
## impactTargetGroup.welfare. -0.09 0.16 0.45 0.551 4.4
## impactTargetGroup.civsoc. -0.01 -0.20 0.47 0.534 4.3
## impactTargetGroup.policy. 0.02 -0.02 0.72 0.285 1.9
## impactTargetGroup.acad. 0.13 0.12 0.25 0.746 3.5
## adoptByPolicy.rate. 0.07 0.00 0.42 0.575 1.6
## Impactstatements.capab. 0.02 0.00 0.69 0.311 1.1
## Impactstatements.emanc. 0.01 0.02 0.85 0.155 1.0
## Impactstatements.understanding. -0.01 0.01 0.83 0.173 1.0
## Impactstatements.mitig. -0.02 -0.01 0.81 0.187 1.0
## Impactstatements.unknown. -0.03 0.00 0.66 0.341 1.0
## Impactstatements.unaddressed. -0.11 -0.12 0.27 0.728 2.3
## dissChannels.peer. 0.03 0.28 0.12 0.883 2.8
## dissChannels.mono. -0.14 0.14 0.35 0.651 3.4
## dissChannels.conf. -0.02 0.41 0.20 0.805 1.7
## dissChannels.policy. 0.01 0.08 0.27 0.734 1.2
## dissChannels.trad. -0.07 0.09 0.36 0.641 2.1
## dissChannels.prof. 0.04 0.19 0.37 0.629 4.0
## dissChannels.web. -0.06 0.00 0.23 0.770 1.6
## dissChannels.socmed. 0.03 -0.16 0.23 0.772 2.0
## dissChannels.platf. 0.04 -0.32 0.34 0.659 2.3
## dissChannels.consult. 0.02 -0.09 0.17 0.830 4.3
## dissChannels.events. 0.01 0.03 0.40 0.598 2.5
## dissChannels.public. -0.15 0.01 0.27 0.731 3.0
## scalabilityRating.up. -0.07 -0.11 0.51 0.490 1.1
## scalabilityRating.out. 0.08 0.06 0.77 0.232 1.1
## scalabilityRating.deep. 0.06 -0.01 0.53 0.472 1.3
## 
## MR2 MR1 MR7 MR3 MR6 MR9 MR5 MR4 MR10 MR8
## SS loadings 4.53 4.00 2.64 2.17 2.53 2.49 2.01 1.38 1.28 1.12
## Proportion Var 0.09 0.08 0.05 0.04 0.05 0.05 0.04 0.03 0.02 0.02
## Cumulative Var 0.09 0.16 0.21 0.25 0.30 0.35 0.38 0.41 0.43 0.46
## Proportion Explained 0.19 0.17 0.11 0.09 0.10 0.10 0.08 0.06 0.05 0.05
## Cumulative Proportion 0.19 0.35 0.46 0.55 0.66 0.76 0.84 0.90 0.95 1.00
## 
## With factor correlations of 
## MR2 MR1 MR7 MR3 MR6 MR9 MR5 MR4 MR10 MR8
## MR2 1.00 -0.12 -0.07 0.02 -0.14 -0.06 0.30 -0.02 0.05 -0.03
## MR1 -0.12 1.00 0.25 0.02 0.39 0.41 -0.09 0.01 0.06 0.12
## MR7 -0.07 0.25 1.00 0.19 0.29 0.29 -0.07 -0.12 0.07 0.14
## MR3 0.02 0.02 0.19 1.00 0.01 0.06 0.01 0.07 0.04 0.09
## MR6 -0.14 0.39 0.29 0.01 1.00 0.32 -0.14 0.03 0.11 0.03
## MR9 -0.06 0.41 0.29 0.06 0.32 1.00 -0.03 -0.09 0.21 0.17
## MR5 0.30 -0.09 -0.07 0.01 -0.14 -0.03 1.00 0.12 0.04 0.00
## MR4 -0.02 0.01 -0.12 0.07 0.03 -0.09 0.12 1.00 -0.11 -0.05
## MR10 0.05 0.06 0.07 0.04 0.11 0.21 0.04 -0.11 1.00 0.05
## MR8 -0.03 0.12 0.14 0.09 0.03 0.17 0.00 -0.05 0.05 1.00
## 
## Mean item complexity = 2.2
## Test of the hypothesis that 10 factors are sufficient.
## 
## The degrees of freedom for the null model are 1378 and the objective function was 46.29 with Chi Square of 15808.71
## The degrees of freedom for the model are 893 and the objective function was 26.19 
## 
## The root mean square of the residuals (RMSR) is 0.03 
## The df corrected root mean square of the residuals is 0.04 
## 
## The harmonic number of observations is 274 with the empirical chi square 911.36 with prob < 0.33 
## The total number of observations was 361 with Likelihood Chi Square = 8770.49 with prob < 0 
## 
## Tucker Lewis Index of factoring reliability = 0.139
## RMSEA index = 0.156 and the 90 % confidence intervals are 0.154 0.16
## BIC = 3511.73
## Fit based upon off diagonal values = 0.97
```

---

```
## lavaan 0.6-9 did NOT end normally after 2345 iterations
## ** WARNING ** Estimates below are most likely unreliable
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of model parameters                       112
##                                                       
##                                                   Used       Total
##   Number of observations                            56         361
##                                                                   
## Model Test User Model:
##                                                       
##   Test statistic                                    NA
##   Degrees of freedom                                NA
## 
## Parameter Estimates:
## 
##   Standard errors                             Standard
##   Information                                 Expected
##   Information saturated (h1) model          Structured
## 
## Latent Variables:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   F1 =~                                                                 
##     grpsInvlvd.cv.    1.000                               0.330    0.484
##     grpsInvlvd.ct.    1.833       NA                      0.605    0.733
##     grpsInvlvd.wl.    1.412       NA                      0.466    0.567
##     trgtGrpsGls.s.    0.958       NA                      0.316    0.633
##     trgtGrpsGls.s.    0.839       NA                      0.277    0.567
##     trgtGrpsGls.m.    0.890       NA                      0.294    0.629
##   F2 =~                                                                 
##     adptByPlcy.rt.    1.000                              11.262    0.455
##     Impctsttmnts..    2.266       NA                     25.522    0.882
##     Impctsttmnts..    2.258       NA                     25.433    0.863
##     Impctsttmnts..    1.984       NA                     22.347    0.724
##     Impctsttmnts..    1.977       NA                     22.267    0.671
##     Impctsttmnts..    1.053       NA                     11.855    0.558
##     Impctsttmnts..    0.417       NA                      4.700    0.272
##   F3 =~                                                                 
##     concepts.pub.     1.000                               0.073    0.257
##     concepts.data.    3.670       NA                      0.269    0.543
##     concepts.code.    4.604       NA                      0.337    0.722
##     concepts.infr.    3.740       NA                      0.274    0.596
##     dssChnnls.trd.    1.900       NA                      0.139    0.279
##     dissChnnls.wb.    1.459       NA                      0.107    0.291
##     dssChnnls.plt.    3.698       NA                      0.271    0.589
##   F4 =~                                                                 
##     trgtGrpsGls.d.    1.000                               0.460    1.000
##   F5 =~                                                                 
##     sclbltyRtng.p.    1.000                              21.490    0.674
##     sclbltyRtng.t.    1.442       NA                     30.978    0.847
##     sclbltyRtng.d.    1.105       NA                     23.744    0.610
##   F6 =~                                                                 
##     grpsInvlvd.pl.    1.000                               0.508    0.657
##     impctTrgtGrp..    6.214       NA                      3.154    0.940
##     dssChnnls.plc.    0.406       NA                      0.206    0.475
##   F7 =~                                                                 
##     trnsdscplnrE..    1.000                               0.071    0.037
##     grpsInvlvd.bs.    6.390       NA                      0.457    0.607
##     impctTrgtGrp..   20.391       NA                      1.457    0.530
##     impctTrgtGrp..   38.209       NA                      2.731    0.798
##   F8 =~                                                                 
##     dssChnnls.cnf.    1.000                               0.225    1.000
##   F9 =~                                                                 
##     contribTSI.rt.    1.000                               2.348    1.000
##   F10 =~                                                                
##     motivatin.phn.    1.000                                  NA       NA
##     motivatin.prb.   -0.004       NA                         NA       NA
## 
## Covariances:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   F1 ~~                                                                 
##     F2               -1.057       NA                     -0.284   -0.284
##     F3               -0.002       NA                     -0.085   -0.085
##     F4                0.093       NA                      0.611    0.611
##     F5               -2.118       NA                     -0.299   -0.299
##     F6                0.068       NA                      0.409    0.409
##     F7                0.004       NA                      0.167    0.167
##     F8                0.011       NA                      0.153    0.153
##     F9                0.350       NA                      0.452    0.452
##     F10               0.263       NA                      0.092    0.092
##   F2 ~~                                                                 
##     F3                0.207       NA                      0.251    0.251
##     F4               -0.772       NA                     -0.149   -0.149
##     F5               93.842       NA                      0.388    0.388
##     F6               -0.265       NA                     -0.046   -0.046
##     F7               -0.031       NA                     -0.038   -0.038
##     F8               -0.527       NA                     -0.208   -0.208
##     F9                7.343       NA                      0.278    0.278
##     F10               1.885       NA                      0.019    0.019
##   F3 ~~                                                                 
##     F4                0.005       NA                      0.162    0.162
##     F5               -0.097       NA                     -0.062   -0.062
##     F6               -0.004       NA                     -0.114   -0.114
##     F7                0.003       NA                      0.505    0.505
##     F8               -0.001       NA                     -0.059   -0.059
##     F9               -0.023       NA                     -0.136   -0.136
##     F10              -0.003       NA                     -0.005   -0.005
##   F4 ~~                                                                 
##     F5               -2.603       NA                     -0.263   -0.263
##     F6                0.077       NA                      0.330    0.330
##     F7                0.001       NA                      0.031    0.031
##     F8                0.002       NA                      0.015    0.015
##     F9                0.126       NA                      0.117    0.117
##     F10               0.263       NA                      0.066    0.066
##   F5 ~~                                                                 
##     F6               -1.838       NA                     -0.168   -0.168
##     F7                0.114       NA                      0.074    0.074
##     F8               -0.582       NA                     -0.120   -0.120
##     F9               -1.059       NA                     -0.021   -0.021
##     F10              -5.495       NA                     -0.030   -0.030
##   F6 ~~                                                                 
##     F7                0.009       NA                      0.250    0.250
##     F8               -0.035       NA                     -0.304   -0.304
##     F9                0.485       NA                      0.406    0.406
##     F10               0.318       NA                      0.073    0.073
##   F7 ~~                                                                 
##     F8               -0.002       NA                     -0.122   -0.122
##     F9               -0.010       NA                     -0.058   -0.058
##     F10               0.025       NA                      0.040    0.040
##   F8 ~~                                                                 
##     F9               -0.034       NA                     -0.065   -0.065
##     F10              -0.047       NA                     -0.024   -0.024
##   F9 ~~                                                                 
##     F10               0.954       NA                      0.047    0.047
## 
## Variances:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##    .grpsInvlvd.cv.    0.355       NA                      0.355    0.765
##    .grpsInvlvd.ct.    0.315       NA                      0.315    0.462
##    .grpsInvlvd.wl.    0.459       NA                      0.459    0.679
##    .trgtGrpsGls.s.    0.150       NA                      0.150    0.600
##    .trgtGrpsGls.s.    0.162       NA                      0.162    0.678
##    .trgtGrpsGls.m.    0.132       NA                      0.132    0.604
##    .adptByPlcy.rt.  486.887       NA                    486.887    0.793
##    .Impctsttmnts..  186.762       NA                    186.762    0.223
##    .Impctsttmnts..  222.671       NA                    222.671    0.256
##    .Impctsttmnts..  453.456       NA                    453.456    0.476
##    .Impctsttmnts..  604.248       NA                    604.248    0.549
##    .Impctsttmnts..  310.552       NA                    310.552    0.688
##    .Impctsttmnts..  276.251       NA                    276.251    0.926
##    .concepts.pub.     0.076       NA                      0.076    0.934
##    .concepts.data.    0.173       NA                      0.173    0.705
##    .concepts.code.    0.104       NA                      0.104    0.479
##    .concepts.infr.    0.136       NA                      0.136    0.645
##    .dssChnnls.trd.    0.230       NA                      0.230    0.922
##    .dissChnnls.wb.    0.123       NA                      0.123    0.915
##    .dssChnnls.plt.    0.138       NA                      0.138    0.653
##    .trgtGrpsGls.d.    0.000                               0.000    0.000
##    .sclbltyRtng.p.  554.390       NA                    554.390    0.546
##    .sclbltyRtng.t.  377.105       NA                    377.105    0.282
##    .sclbltyRtng.d.  950.079       NA                    950.079    0.628
##    .grpsInvlvd.pl.    0.339       NA                      0.339    0.568
##    .impctTrgtGrp..    1.305       NA                      1.305    0.116
##    .dssChnnls.plc.    0.145       NA                      0.145    0.774
##    .trnsdscplnrE..    3.729       NA                      3.729    0.999
##    .grpsInvlvd.bs.    0.358       NA                      0.358    0.632
##    .impctTrgtGrp..    5.438       NA                      5.438    0.719
##    .impctTrgtGrp..    4.251       NA                      4.251    0.363
##    .dssChnnls.cnf.    0.000                               0.000    0.000
##    .contribTSI.rt.    0.000                               0.000    0.000
##    .motivatin.phn.   78.316       NA                     78.316   21.450
##    .motivatin.prb.    4.386       NA                      4.386    1.000
##     F1                0.109       NA                      1.000    1.000
##     F2              126.837       NA                      1.000    1.000
##     F3                0.005       NA                      1.000    1.000
##     F4                0.211       NA                      1.000    1.000
##     F5              461.800       NA                      1.000    1.000
##     F6                0.258       NA                      1.000    1.000
##     F7                0.005       NA                      1.000    1.000
##     F8                0.051       NA                      1.000    1.000
##     F9                5.515       NA                      1.000    1.000
##     F10             -74.665       NA                         NA       NA
```